Authors
Abstract
Load flow studies are important in power system planning, control and
operating strategies when applied in real time mode. Comparative study
between different load flow solution methods (the (Newton Raphson (NR), Fast
De-coupled (FD)) conventional methods and Artificial Neural Network (ANN)
method is carried out. Feed Forward model of the neural network based on
Error Back propagation (EBP) algorithm has been used for load flow problem
and, a method tested using one of the Iraqi National Grid Systems.
A computer program was performed using MATLAB software program in
order to design the system that is used to enter the sample values of the power
system units.
The result of the study shows an efficient technique to be used for getting the difference in time rate of the final processing reveal that ANN showed good efficiency in the process of deriving results from the two conventional methods to the same input data. The simulations of the proposed approach are presented.
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